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Alexander von Humboldt Institute for Internet and Society

Postdoctoral Researcher in Computational Social Science and Visual Data Analysis of Gender-Based Disinformation Weizenbaum Institute for the Networked Society in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 15, 2026

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Country

Germany

University

Alexander von Humboldt Institute for Internet and Society

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Keywords

Computer Science
Sociology
Psychology
Communication Studies
Computer Vision
Computational Social Science
Machine learning

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About this position

Postdoctoral Researcher position in Computational Social Science with a focus on visual data analysis of gender-based disinformation.

The role is part of GENDIS, a new joint project involving the Weizenbaum Institute for the Networked Society and Technical University of Munich. The project combines computational methods with social science theories to conceptualise and classify gender-based disinformation and to build a tool that can automatically detect it online.

The post is aimed at experienced researchers with interest in studying digital societies using methods such as machine learning and computer vision for large-scale analysis of textual and visual data.

Location: Berlin, Germany. Start: ASAP. Deadline: 15 August (normalized here as 2026-08-15).

This is a research job rather than a scholarship. The linked posting indicates an E13 TVöD Bund 100% position, suggesting a salaried, fully funded postdoctoral appointment.

For questions, the post directs applicants to Elizaveta Kuznetsova or Martha Stolze. Interested candidates should use the linked institutional posting for the formal application details.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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